LAPSE:2023.26093
Published Article
LAPSE:2023.26093
A Universal Mathematical Model of Modular Multilevel Converter with Half-Bridge
Ming Liu, Zetao Li, Xiaoliu Yang
March 31, 2023
Modular multilevel converters (MMCs) play an important role in the power electronics industry due to their many advantages, such as modularity and reliability. In the current research, the simulation method is used to study the system. However, with the increasing number of sub-modules (SMs), it is difficult to model and simulate the system. In order to overcome these difficulties, this paper presents a universal mathematical model (UMM) of MMC using half-bridge cells as SMs. The UMM is a full-scale model with switching state, capacitance, inductance, and resistance characteristics. This method can calculate any number of SMs, and it does not need to build a simulation model (SIM) of physical MMC—in particular, parametric design can be realized. Compared with the SIM, the accuracy of the proposed UMM is verified, and the computational efficiency of the UMM is 8.7 times higher than the simulation method. Finally, by utilizing the proposed UMM method, the influence of the parameters of MMCs is studied, including the arm induction, SM capacitance, SM number, and output current/voltage total harmonic distortion (THD) based on the UMM in the paper. The results offer an engineering insight to optimize the design of MMCs.
Keywords
modular multilevel converter (MMC), nearest level modulation (NLM), switching state, total harmonic distortion (THD), universal mathematical model (UMM)
Suggested Citation
Liu M, Li Z, Yang X. A Universal Mathematical Model of Modular Multilevel Converter with Half-Bridge. (2023). LAPSE:2023.26093
Author Affiliations
Liu M: College of Electrical Engineering, Guizhou University, Guiyang 550025, China; Department of Mechanical Engineering, Guizhou College of Electronic Science and Technology, Guian 550003, China [ORCID]
Li Z: College of Electrical Engineering, Guizhou University, Guiyang 550025, China; Guizhou Provincial Key Laboratory of Internet + Intelligent Manufacturing, Guiyang 550025, China
Yang X: College of Electrical Engineering, Guizhou University, Guiyang 550025, China
Journal Name
Energies
Volume
13
Issue
17
Article Number
E4464
Year
2020
Publication Date
2020-08-29
Published Version
ISSN
1996-1073
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PII: en13174464, Publication Type: Journal Article
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doi:10.3390/en13174464
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